{"id":"W7054962010","doi":"","title":"Analyse de variations de performance par comparaison de traces d'exécution","year":2015,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Earth history; Source code; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002986,0.001150778,0.0007154553,0.003429312,0.0005299223,0.001857672,0.001059741,0.00075763,0.002428897],"category_scores_gemma":[0.01594561,0.0004479647,0.0005609703,0.003338054,0.0006114315,0.001708796,0.0007425157,0.00124736,0.001150504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906905,"about_ca_system_score_gemma":0.0009328506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076191,"about_ca_topic_score_gemma":0.00691699,"domain_scores_codex":[0.9955531,0.0004362974,0.0003682747,0.001123291,0.002098926,0.0004200782],"domain_scores_gemma":[0.9847822,0.007626152,0.001216657,0.001915552,0.003769177,0.0006901718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006575584,0.001292019,0.2710145,0.001342166,0.001094549,0.001707628,0.002699878,0.1704529,0.08428881,0.005205343,0.01837316,0.4359534],"study_design_scores_gemma":[0.0001673848,0.002396119,0.304025,0.0001919276,0.000434604,0.001272836,0.001763483,0.5664552,0.09828373,0.004244626,0.02047207,0.0002929945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549963,0.001161864,0.02573731,0.0003349442,0.0002052734,0.0001234482,0.005481286,0.008127904,0.003831667],"genre_scores_gemma":[0.9780303,0.0003728656,0.01290333,0.00005381226,0.00004592401,0.0001484953,0.005708451,0.0004835424,0.002253186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076191,"threshold_uncertainty_score":0.02139854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378453338097897,"score_gpt":0.2298711221354874,"score_spread":0.2160865887545084,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}